code: def testPdfReflectedForNegativeSkewness(self):
      sas_pos_skew = sinh_arcsinh.SinhArcsinh(
          loc=0.0, scale=1.0, skewness=2.0, validate_args=True
      )
      sas_neg_skew = sinh_arcsinh.SinhArcsinh(
          loc=0.0, scale=1.0, skewness=-2.0, validate_args=True
      )
      x = np.linspace(-2, 2, num=5).astype(np.float32)
      self.assertAllClose(
          *self.evaluate(
              [sas_pos_skew.prob(x), sas_neg_skew.prob(x[::-1])]
          )
      )
  
file_path: probability/tensorflow_probability/python/distributions/sinh_arcsinh_test.py
imports: import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import laplace
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import sinh_arcsinh
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 8 for calling the SinhArcsinhTest obj's underlying member method code with example usage: obj.testPdfReflectedForNegativeSkewness() without return types